@INPROCEEDINGS{8712750, 
author={S. {Li} and Z. {Zheng} and W. {Dai} and H. {Xiong}}, 
booktitle={2019 Data Compression Conference (DCC)}, 
title={Lossy Image Compression with Filter Bank Based Convolutional Networks}, 
year={2019}, 
volume={}, 
number={}, 
pages={23-32}, 
keywords={adaptive codes;arithmetic codes;channel bank filters;convolutional neural nets;data compression;image coding;probability;trees (mathematics);filter bank;convolutional networks;efficient separable multiscale decomposition;multidirectional decomposition;convolutional cascade;1-D radial;directional filter banks;two-stage subband coding framework;FBCN analysis coefficients;adaptive arithmetic coding;AAC;inter-subband dependency;mutual information;information-theoretical measurement;neural networks;lossy coding performance;lossy image compression;subband coding schemes;SPIHT-like algorithm;probability estimation;spatial orientation tree;Image coding;Convolutional codes;Encoding;Prediction algorithms;Estimation;Convolution;Neural networks;Filter Bank;Convolutional Network;Image Compression}, 
doi={10.1109/DCC.2019.00010}, 
ISSN={2375-0359}, 
month={March},}